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Senior Data Scientist III (Remote)

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Full time

Salary:

67 - 67K yearly

Experience:

Mid-level (2-5 years)

Work from:

North Carolina (USA), United States

Offer summary

Qualifications:

Master's degree in relevant field, Experience with large language models, Proficient in big data technologies, Advanced programming skills in Python or R.

Key responsabilities:

Develop and deploy advanced AI solutions
Mentor junior data scientists and guide teams

Elsevier XLarge https://www.elsevier.com

5001 - 10000 Employees

See more Elsevier offers

Job description

Responsibilities

Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Leading the development of advanced AI and machine learning models to solve complex business problems
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Leading the automation and lifecycle management of sophisticated data systems.
Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
Designing APIs for disseminating data science outputs to various business units.
Overseeing the scaling of production systems to meet growing demands.

Requirements

Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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